The City of London is on edge. For months, I have watched the relentless rally in AI-linked equities with growing unease. It is not the technology itself that worries me; the potential for artificial intelligence to reshape industries is undeniable. What alarms me is the price. When a sector’s valuation becomes detached from fundamentals, the market’s invisible hand tends to deliver a painful lesson.
Consider the numbers. The Nasdaq 100, heavily weighted towards Big Tech, has surged over 40% in the past year. AI darling Nvidia, a bellwether for the sector, has seen its share price multiply fivefold since early 2023. At a trailing price-to-earnings ratio north of 70, investors are pricing in decades of future growth. This is not investment; it is speculation dressed up in algorithms.
The warning signs are blinking amber. The Bank of England, ever vigilant, has noted the froth in technology valuations. Governor Bailey’s recent comments about “exuberance in certain asset classes” were a polite way of saying the central bank is watching for a bubble. More tellingly, UK bond yields have risen sharply, with the 10-year gilt yield approaching 4.5%. Higher risk-free rates are kryptonite for high-growth stocks, as future earnings are discounted more heavily. Capital is beginning to flee from speculative tech plays toward safer havens, a classic precursor to a correction.
We have seen this movie before. The dot-com bubble of the late 1990s was fuelled by similar narratives: a transformative technology, low interest rates, and a belief that “this time is different.” It wasn’t. When the Federal Reserve began raising rates in 2000 to cool the economy, the house of cards collapsed. Today, inflation remains stubbornly above target, and central banks on both sides of the Atlantic have signalled further tightening. The cost of money is rising, and the party may soon be over.
Fiscal responsibility is another bugbear. The UK government’s profligate spending during the pandemic and energy crisis has left the public finances in a precarious state. More borrowing means more gilt issuance, which pushes yields higher. This crowds out private investment and raises the discount rate applied to future cash flows. For AI firms, many of which are yet to turn a profit, the math becomes brutal.
Market volatility has already risen. The VIX, a measure of implied volatility, has spiked from below 15 to over 20 in recent weeks. This suggests options traders are hedging against a sharp downturn. Meanwhile, initial public offerings in the AI space have slowed, a sign that private market valuations are becoming harder to justify. When the smart money stops buying, retail investors often get left holding the bag.
To be clear, I am not predicting the end of AI’s long-term potential. But markets do not move in straight lines. The current euphoria has created a dichotomy: genuine innovation alongside overhyped companies with dubious business models. The correction, when it comes, will separate the wheat from the chaff. Firms with real earnings, strong balance sheets, and clear use cases will survive. The rest will be wiped out.
For the City, a tech correction would be painful but not catastrophic. London is less exposed to Silicon Valley than New York, but the FTSE 100’s heavyweight miners and banks would feel the sting from a broader global sell-off. More worrying is the knock-on effect on investor confidence. If the AI bubble bursts, it could undermine faith in the entire technology sector, leading to a prolonged bear market.
My advice to readers: take profits, reduce exposure to high-multiple AI stocks, and hold cash. The era of free money is over. The market’s adjustment will be swift and merciless. Brace yourselves.
